A mathematical model of the intramyocardial coronary microcirculation is used to explore the validity of a fast CT imaging method for characterizing the myocardial microcirculatory functional status. The fast CT method depends on the demonstrated CT-based estimation of myocardial perfusion (F) and the intramyocardial blood volume (B(v)). The observed curvilinear myocardial blood volume-to-flow relationship, empirically fitted to B(v) = a.F + b.F(0.5), is a signature of the underlying early pathophysiologic processes thought to be involved in systemic disease processes, such as atherosclerosis, hypertension, and diabetes mellitus. The sensitivity and specificity of the CT-based estimate of this characteristic relationship is explored by altering the characteristics of the vascular diameter-to-flow relationship and the variation in the fraction of capillaries perfused at different coronary flows. The simulation results also indicate that if the vascular diameters change so that the vascular resistance corresponds to the change in flow, then the empirically observed myocardial B(v)-to-F relationship holds well.

Download full-text PDF

Source
http://dx.doi.org/10.1111/j.1749-6632.2002.tb04589.xDOI Listing

Publication Analysis

Top Keywords

myocardial microcirculatory
8
quantification myocardial
4
microcirculatory function
4
function x-ray
4
x-ray mathematical
4
mathematical model
4
model intramyocardial
4
intramyocardial coronary
4
coronary microcirculation
4
microcirculation explore
4

Similar Publications

The advancements in cardiovascular imaging over the past two decades have been significant. The miniaturization of ultrasound devices has greatly contributed to their widespread adoption in operating rooms and intensive care units. The integration of AI-enabled tools has further transformed the field by simplifying echocardiographic evaluations and enhancing the reproducibility of hemodynamic measurements, even for less experienced operators.

View Article and Find Full Text PDF
Article Synopsis
  • The study investigates the link between atherosclerosis (plaque buildup in arteries) and types of myocardial ischemia (insufficient blood flow to the heart) in patients without significant coronary artery blockage (INOCA).
  • It employs advanced invasive tests to assess coronary microvascular function and quantifies plaque burden using the Gensini score, which takes into account the severity of artery blockage.
  • Findings reveal that higher Gensini scores correlate with poorer microvascular function, and different INOCA endotypes (like microvascular angina and vasospastic angina) show variations in plaque scores, indicating the complexity of heart conditions in patients without obvious artery blockage.
View Article and Find Full Text PDF

Complete myocardial revascularization, targeting both culprit and non-culprit coronary stenoses, is recommended by current guidelines in acute myocardial infarction (AMI) management, either during the index percutaneous coronary intervention (PCI) procedure or within 45 days, depending on the clinical context. However, in patients with chronic kidney disease (CKD), particularly end-stage kidney disease (ESKD), fractional flow reserve (FFR) presents unique challenges. Altered coronary physiology in CKD, such as arterial stiffness and microcirculatory dysfunction, affects FFR accuracy, complicating revascularization decisions.

View Article and Find Full Text PDF
Article Synopsis
  • The study explores the assessment of coronary microvascular dysfunction (CMD) using a new hybrid index derived from pressure-wire measurements and angiography, promoting its potential use in clinical settings.
  • Researchers compared this hybrid index, known as IMR, with a traditional bolus thermodilution-based index in a cohort of patients with acute coronary syndrome and stable coronary artery disease.
  • Results indicate that both the new hybrid IMR and the traditional index showed strong correlations and diagnostic accuracy for CMD, suggesting IMR is a simpler and effective alternative for routine clinical use.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!